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// Copyright (c) 2009-2011, Tor M. Aamodt, Inderpreet Singh, Timothy Rogers,
// The University of British Columbia
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// Redistributions of source code must retain the above copyright notice, this
// list of conditions and the following disclaimer.
// Redistributions in binary form must reproduce the above copyright notice, this
// list of conditions and the following disclaimer in the documentation and/or
// other materials provided with the distribution.
// Neither the name of The University of British Columbia nor the names of its
// contributors may be used to endorse or promote products derived from this
// software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
// FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
// SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "abstract_hardware_model.h"
#include "cuda-sim/memory.h"
#include "cuda-sim/ptx_ir.h"
#include "cuda-sim/ptx-stats.h"
#include "cuda-sim/cuda-sim.h"
#include "gpgpu-sim/gpu-sim.h"
#include "option_parser.h"
#include <algorithm>
unsigned mem_access_t::sm_next_access_uid = 0;
unsigned warp_inst_t::sm_next_uid = 0;
void move_warp( warp_inst_t *&dst, warp_inst_t *&src )
{
assert( dst->empty() );
warp_inst_t* temp = dst;
dst = src;
src = temp;
src->clear();
}
void gpgpu_functional_sim_config::reg_options(class OptionParser * opp)
{
option_parser_register(opp, "-gpgpu_ptx_use_cuobjdump", OPT_BOOL,
&m_ptx_use_cuobjdump,
"Use cuobjdump to extract ptx and sass from binaries",
#if (CUDART_VERSION >= 4000)
"1"
#else
"0"
#endif
);
option_parser_register(opp, "-gpgpu_experimental_lib_support", OPT_BOOL,
&m_experimental_lib_support,
"Try to extract code from cuda libraries [Broken because of unknown cudaGetExportTable]",
"0");
option_parser_register(opp, "-gpgpu_ptx_convert_to_ptxplus", OPT_BOOL,
&m_ptx_convert_to_ptxplus,
"Convert SASS (native ISA) to ptxplus and run ptxplus",
"0");
option_parser_register(opp, "-gpgpu_ptx_force_max_capability", OPT_UINT32,
&m_ptx_force_max_capability,
"Force maximum compute capability",
"0");
option_parser_register(opp, "-gpgpu_ptx_inst_debug_to_file", OPT_BOOL,
&g_ptx_inst_debug_to_file,
"Dump executed instructions' debug information to file",
"0");
option_parser_register(opp, "-gpgpu_ptx_inst_debug_file", OPT_CSTR, &g_ptx_inst_debug_file,
"Executed instructions' debug output file",
"inst_debug.txt");
option_parser_register(opp, "-gpgpu_ptx_inst_debug_thread_uid", OPT_INT32, &g_ptx_inst_debug_thread_uid,
"Thread UID for executed instructions' debug output",
"1");
}
void gpgpu_functional_sim_config::ptx_set_tex_cache_linesize(unsigned linesize)
{
m_texcache_linesize = linesize;
}
gpgpu_t::gpgpu_t( const gpgpu_functional_sim_config &config )
: m_function_model_config(config)
{
m_global_mem = new memory_space_impl<8192>("global",64*1024);
m_tex_mem = new memory_space_impl<8192>("tex",64*1024);
m_surf_mem = new memory_space_impl<8192>("surf",64*1024);
m_dev_malloc=GLOBAL_HEAP_START;
if(m_function_model_config.get_ptx_inst_debug_to_file() != 0)
ptx_inst_debug_file = fopen(m_function_model_config.get_ptx_inst_debug_file(), "w");
}
address_type line_size_based_tag_func(new_addr_type address, new_addr_type line_size)
{
//gives the tag for an address based on a given line size
return address & ~(line_size-1);
}
const char * mem_access_type_str(enum mem_access_type access_type)
{
#define MA_TUP_BEGIN(X) static const char* access_type_str[] = {
#define MA_TUP(X) #X
#define MA_TUP_END(X) };
MEM_ACCESS_TYPE_TUP_DEF
#undef MA_TUP_BEGIN
#undef MA_TUP
#undef MA_TUP_END
assert(access_type < NUM_MEM_ACCESS_TYPE);
return access_type_str[access_type];
}
void warp_inst_t::clear_active( const active_mask_t &inactive ) {
active_mask_t test = m_warp_active_mask;
test &= inactive;
assert( test == inactive ); // verify threads being disabled were active
m_warp_active_mask &= ~inactive;
}
void warp_inst_t::set_not_active( unsigned lane_id ) {
m_warp_active_mask.reset(lane_id);
}
void warp_inst_t::set_active( const active_mask_t &active ) {
m_warp_active_mask = active;
if( m_isatomic ) {
for( unsigned i=0; i < m_config->warp_size; i++ ) {
if( !m_warp_active_mask.test(i) ) {
m_per_scalar_thread[i].callback.function = NULL;
m_per_scalar_thread[i].callback.instruction = NULL;
m_per_scalar_thread[i].callback.thread = NULL;
}
}
}
}
void warp_inst_t::do_atomic(bool forceDo) {
do_atomic( m_warp_active_mask,forceDo );
}
void warp_inst_t::do_atomic( const active_mask_t& access_mask,bool forceDo ) {
assert( m_isatomic && (!m_empty||forceDo) );
for( unsigned i=0; i < m_config->warp_size; i++ )
{
if( access_mask.test(i) )
{
dram_callback_t &cb = m_per_scalar_thread[i].callback;
if( cb.thread )
cb.function(cb.instruction, cb.thread);
}
}
}
void warp_inst_t::generate_mem_accesses()
{
if( empty() || op == MEMORY_BARRIER_OP || m_mem_accesses_created )
return;
if ( !((op == LOAD_OP) || (op == STORE_OP)) )
return;
if( m_warp_active_mask.count() == 0 )
return; // predicated off
const size_t starting_queue_size = m_accessq.size();
assert( is_load() || is_store() );
assert( m_per_scalar_thread_valid ); // need address information per thread
bool is_write = is_store();
mem_access_type access_type;
switch (space.get_type()) {
case const_space:
case param_space_kernel:
access_type = CONST_ACC_R;
break;
case tex_space:
access_type = TEXTURE_ACC_R;
break;
case global_space:
access_type = is_write? GLOBAL_ACC_W: GLOBAL_ACC_R;
break;
case local_space:
case param_space_local:
access_type = is_write? LOCAL_ACC_W: LOCAL_ACC_R;
break;
case shared_space: break;
default: assert(0); break;
}
// Calculate memory accesses generated by this warp
new_addr_type cache_block_size = 0; // in bytes
switch( space.get_type() ) {
case shared_space: {
unsigned subwarp_size = m_config->warp_size / m_config->mem_warp_parts;
unsigned total_accesses=0;
for( unsigned subwarp=0; subwarp < m_config->mem_warp_parts; subwarp++ ) {
// data structures used per part warp
std::map<unsigned,std::map<new_addr_type,unsigned> > bank_accs; // bank -> word address -> access count
// step 1: compute accesses to words in banks
for( unsigned thread=subwarp*subwarp_size; thread < (subwarp+1)*subwarp_size; thread++ ) {
if( !active(thread) )
continue;
new_addr_type addr = m_per_scalar_thread[thread].memreqaddr[0];
//FIXME: deferred allocation of shared memory should not accumulate across kernel launches
//assert( addr < m_config->gpgpu_shmem_size );
unsigned bank = m_config->shmem_bank_func(addr);
new_addr_type word = line_size_based_tag_func(addr,m_config->WORD_SIZE);
bank_accs[bank][word]++;
}
if (m_config->shmem_limited_broadcast) {
// step 2: look for and select a broadcast bank/word if one occurs
bool broadcast_detected = false;
new_addr_type broadcast_word=(new_addr_type)-1;
unsigned broadcast_bank=(unsigned)-1;
std::map<unsigned,std::map<new_addr_type,unsigned> >::iterator b;
for( b=bank_accs.begin(); b != bank_accs.end(); b++ ) {
unsigned bank = b->first;
std::map<new_addr_type,unsigned> &access_set = b->second;
std::map<new_addr_type,unsigned>::iterator w;
for( w=access_set.begin(); w != access_set.end(); ++w ) {
if( w->second > 1 ) {
// found a broadcast
broadcast_detected=true;
broadcast_bank=bank;
broadcast_word=w->first;
break;
}
}
if( broadcast_detected )
break;
}
// step 3: figure out max bank accesses performed, taking account of broadcast case
unsigned max_bank_accesses=0;
for( b=bank_accs.begin(); b != bank_accs.end(); b++ ) {
unsigned bank_accesses=0;
std::map<new_addr_type,unsigned> &access_set = b->second;
std::map<new_addr_type,unsigned>::iterator w;
for( w=access_set.begin(); w != access_set.end(); ++w )
bank_accesses += w->second;
if( broadcast_detected && broadcast_bank == b->first ) {
for( w=access_set.begin(); w != access_set.end(); ++w ) {
if( w->first == broadcast_word ) {
unsigned n = w->second;
assert(n > 1); // or this wasn't a broadcast
assert(bank_accesses >= (n-1));
bank_accesses -= (n-1);
break;
}
}
}
if( bank_accesses > max_bank_accesses )
max_bank_accesses = bank_accesses;
}
// step 4: accumulate
total_accesses+= max_bank_accesses;
} else {
// step 2: look for the bank with the maximum number of access to different words
unsigned max_bank_accesses=0;
std::map<unsigned,std::map<new_addr_type,unsigned> >::iterator b;
for( b=bank_accs.begin(); b != bank_accs.end(); b++ ) {
max_bank_accesses = std::max(max_bank_accesses, (unsigned)b->second.size());
}
// step 3: accumulate
total_accesses+= max_bank_accesses;
}
}
assert( total_accesses > 0 && total_accesses <= m_config->warp_size );
cycles = total_accesses; // shared memory conflicts modeled as larger initiation interval
ptx_file_line_stats_add_smem_bank_conflict( pc, total_accesses );
break;
}
case tex_space:
cache_block_size = m_config->gpgpu_cache_texl1_linesize;
break;
case const_space: case param_space_kernel:
cache_block_size = m_config->gpgpu_cache_constl1_linesize;
break;
case global_space: case local_space: case param_space_local:
if( m_config->gpgpu_coalesce_arch == 13 ) {
if(isatomic())
memory_coalescing_arch_13_atomic(is_write, access_type);
else
memory_coalescing_arch_13(is_write, access_type);
} else abort();
break;
default:
abort();
}
if( cache_block_size ) {
assert( m_accessq.empty() );
mem_access_byte_mask_t byte_mask;
std::map<new_addr_type,active_mask_t> accesses; // block address -> set of thread offsets in warp
std::map<new_addr_type,active_mask_t>::iterator a;
for( unsigned thread=0; thread < m_config->warp_size; thread++ ) {
if( !active(thread) )
continue;
new_addr_type addr = m_per_scalar_thread[thread].memreqaddr[0];
unsigned block_address = line_size_based_tag_func(addr,cache_block_size);
accesses[block_address].set(thread);
unsigned idx = addr-block_address;
for( unsigned i=0; i < data_size; i++ )
byte_mask.set(idx+i);
}
for( a=accesses.begin(); a != accesses.end(); ++a )
m_accessq.push_back( mem_access_t(access_type,a->first,cache_block_size,is_write,a->second,byte_mask) );
}
if ( space.get_type() == global_space ) {
ptx_file_line_stats_add_uncoalesced_gmem( pc, m_accessq.size() - starting_queue_size );
}
m_mem_accesses_created=true;
}
void warp_inst_t::memory_coalescing_arch_13( bool is_write, mem_access_type access_type )
{
// see the CUDA manual where it discusses coalescing rules before reading this
unsigned segment_size = 0;
unsigned warp_parts = m_config->mem_warp_parts;
switch( data_size ) {
case 1: segment_size = 32; break;
case 2: segment_size = 64; break;
case 4: case 8: case 16: segment_size = 128; break;
}
unsigned subwarp_size = m_config->warp_size / warp_parts;
for( unsigned subwarp=0; subwarp < warp_parts; subwarp++ ) {
std::map<new_addr_type,transaction_info> subwarp_transactions;
// step 1: find all transactions generated by this subwarp
for( unsigned thread=subwarp*subwarp_size; thread<subwarp_size*(subwarp+1); thread++ ) {
if( !active(thread) )
continue;
unsigned data_size_coales = data_size;
unsigned num_accesses = 1;
if( space.get_type() == local_space || space.get_type() == param_space_local ) {
// Local memory accesses >4B were split into 4B chunks
if(data_size >= 4) {
data_size_coales = 4;
num_accesses = data_size/4;
}
// Otherwise keep the same data_size for sub-4B access to local memory
}
assert(num_accesses <= MAX_ACCESSES_PER_INSN_PER_THREAD);
for(unsigned access=0; access<num_accesses; access++) {
new_addr_type addr = m_per_scalar_thread[thread].memreqaddr[access];
unsigned block_address = line_size_based_tag_func(addr,segment_size);
unsigned chunk = (addr&127)/32; // which 32-byte chunk within in a 128-byte chunk does this thread access?
transaction_info &info = subwarp_transactions[block_address];
// can only write to one segment
assert(block_address == line_size_based_tag_func(addr+data_size_coales-1,segment_size));
info.chunks.set(chunk);
info.active.set(thread);
unsigned idx = (addr&127);
for( unsigned i=0; i < data_size_coales; i++ )
info.bytes.set(idx+i);
}
}
// step 2: reduce each transaction size, if possible
std::map< new_addr_type, transaction_info >::iterator t;
for( t=subwarp_transactions.begin(); t !=subwarp_transactions.end(); t++ ) {
new_addr_type addr = t->first;
const transaction_info &info = t->second;
memory_coalescing_arch_13_reduce_and_send(is_write, access_type, info, addr, segment_size);
}
}
}
void warp_inst_t::memory_coalescing_arch_13_atomic( bool is_write, mem_access_type access_type )
{
assert(space.get_type() == global_space); // Atomics allowed only for global memory
// see the CUDA manual where it discusses coalescing rules before reading this
unsigned segment_size = 0;
unsigned warp_parts = 2;
switch( data_size ) {
case 1: segment_size = 32; break;
case 2: segment_size = 64; break;
case 4: case 8: case 16: segment_size = 128; break;
}
unsigned subwarp_size = m_config->warp_size / warp_parts;
for( unsigned subwarp=0; subwarp < warp_parts; subwarp++ ) {
std::map<new_addr_type,std::list<transaction_info> > subwarp_transactions; // each block addr maps to a list of transactions
// step 1: find all transactions generated by this subwarp
for( unsigned thread=subwarp*subwarp_size; thread<subwarp_size*(subwarp+1); thread++ ) {
if( !active(thread) )
continue;
new_addr_type addr = m_per_scalar_thread[thread].memreqaddr[0];
unsigned block_address = line_size_based_tag_func(addr,segment_size);
unsigned chunk = (addr&127)/32; // which 32-byte chunk within in a 128-byte chunk does this thread access?
// can only write to one segment
assert(block_address == line_size_based_tag_func(addr+data_size-1,segment_size));
// Find a transaction that does not conflict with this thread's accesses
bool new_transaction = true;
std::list<transaction_info>::iterator it;
transaction_info* info;
for(it=subwarp_transactions[block_address].begin(); it!=subwarp_transactions[block_address].end(); it++) {
unsigned idx = (addr&127);
if(not it->test_bytes(idx,idx+data_size-1)) {
new_transaction = false;
info = &(*it);
break;
}
}
if(new_transaction) {
// Need a new transaction
subwarp_transactions[block_address].push_back(transaction_info());
info = &subwarp_transactions[block_address].back();
}
assert(info);
info->chunks.set(chunk);
info->active.set(thread);
unsigned idx = (addr&127);
for( unsigned i=0; i < data_size; i++ ) {
assert(!info->bytes.test(idx+i));
info->bytes.set(idx+i);
}
}
// step 2: reduce each transaction size, if possible
std::map< new_addr_type, std::list<transaction_info> >::iterator t_list;
for( t_list=subwarp_transactions.begin(); t_list !=subwarp_transactions.end(); t_list++ ) {
// For each block addr
new_addr_type addr = t_list->first;
const std::list<transaction_info>& transaction_list = t_list->second;
std::list<transaction_info>::const_iterator t;
for(t=transaction_list.begin(); t!=transaction_list.end(); t++) {
// For each transaction
const transaction_info &info = *t;
memory_coalescing_arch_13_reduce_and_send(is_write, access_type, info, addr, segment_size);
}
}
}
}
void warp_inst_t::memory_coalescing_arch_13_reduce_and_send( bool is_write, mem_access_type access_type, const transaction_info &info, new_addr_type addr, unsigned segment_size )
{
assert( (addr & (segment_size-1)) == 0 );
const std::bitset<4> &q = info.chunks;
assert( q.count() >= 1 );
std::bitset<2> h; // halves (used to check if 64 byte segment can be compressed into a single 32 byte segment)
unsigned size=segment_size;
if( segment_size == 128 ) {
bool lower_half_used = q[0] || q[1];
bool upper_half_used = q[2] || q[3];
if( lower_half_used && !upper_half_used ) {
// only lower 64 bytes used
size = 64;
if(q[0]) h.set(0);
if(q[1]) h.set(1);
} else if ( (!lower_half_used) && upper_half_used ) {
// only upper 64 bytes used
addr = addr+64;
size = 64;
if(q[2]) h.set(0);
if(q[3]) h.set(1);
} else {
assert(lower_half_used && upper_half_used);
}
} else if( segment_size == 64 ) {
// need to set halves
if( (addr % 128) == 0 ) {
if(q[0]) h.set(0);
if(q[1]) h.set(1);
} else {
assert( (addr % 128) == 64 );
if(q[2]) h.set(0);
if(q[3]) h.set(1);
}
}
if( size == 64 ) {
bool lower_half_used = h[0];
bool upper_half_used = h[1];
if( lower_half_used && !upper_half_used ) {
size = 32;
} else if ( (!lower_half_used) && upper_half_used ) {
addr = addr+32;
size = 32;
} else {
assert(lower_half_used && upper_half_used);
}
}
m_accessq.push_back( mem_access_t(access_type,addr,size,is_write,info.active,info.bytes) );
}
void warp_inst_t::completed( unsigned long long cycle ) const
{
unsigned long long latency = cycle - issue_cycle;
assert(latency <= cycle); // underflow detection
ptx_file_line_stats_add_latency(pc, latency * active_count());
}
unsigned kernel_info_t::m_next_uid = 1;
kernel_info_t::kernel_info_t( dim3 gridDim, dim3 blockDim, class function_info *entry )
{
m_kernel_entry=entry;
m_grid_dim=gridDim;
m_block_dim=blockDim;
m_next_cta.x=0;
m_next_cta.y=0;
m_next_cta.z=0;
m_next_tid=m_next_cta;
m_num_cores_running=0;
m_uid = m_next_uid++;
m_param_mem = new memory_space_impl<8192>("param",64*1024);
}
kernel_info_t::~kernel_info_t()
{
assert( m_active_threads.empty() );
delete m_param_mem;
}
std::string kernel_info_t::name() const
{
return m_kernel_entry->get_name();
}
simt_stack::simt_stack( unsigned wid, unsigned warpSize)
{
m_warp_id=wid;
m_warp_size = warpSize;
reset();
}
void simt_stack::reset()
{
m_stack.clear();
}
void simt_stack::launch( address_type start_pc, const simt_mask_t &active_mask )
{
reset();
simt_stack_entry new_stack_entry;
new_stack_entry.m_pc = start_pc;
new_stack_entry.m_calldepth = 1;
new_stack_entry.m_active_mask = active_mask;
new_stack_entry.m_type = STACK_ENTRY_TYPE_NORMAL;
m_stack.push_back(new_stack_entry);
}
const simt_mask_t &simt_stack::get_active_mask() const
{
assert(m_stack.size() > 0);
return m_stack.back().m_active_mask;
}
void simt_stack::get_pdom_stack_top_info( unsigned *pc, unsigned *rpc ) const
{
assert(m_stack.size() > 0);
*pc = m_stack.back().m_pc;
*rpc = m_stack.back().m_recvg_pc;
}
unsigned simt_stack::get_rp() const
{
assert(m_stack.size() > 0);
return m_stack.back().m_recvg_pc;
}
void simt_stack::print (FILE *fout) const
{
for ( unsigned k=0; k < m_stack.size(); k++ ) {
simt_stack_entry stack_entry = m_stack[k];
if ( k==0 ) {
fprintf(fout, "w%02d %1u ", m_warp_id, k );
} else {
fprintf(fout, " %1u ", k );
}
for (unsigned j=0; j<m_warp_size; j++)
fprintf(fout, "%c", (stack_entry.m_active_mask.test(j)?'1':'0') );
fprintf(fout, " pc: 0x%03x", stack_entry.m_pc );
if ( stack_entry.m_recvg_pc == (unsigned)-1 ) {
fprintf(fout," rp: ---- tp: %s cd: %2u ", (stack_entry.m_type==STACK_ENTRY_TYPE_CALL?"C":"N"), stack_entry.m_calldepth );
} else {
fprintf(fout," rp: %4u tp: %s cd: %2u ", stack_entry.m_recvg_pc, (stack_entry.m_type==STACK_ENTRY_TYPE_CALL?"C":"N"), stack_entry.m_calldepth );
}
if ( stack_entry.m_branch_div_cycle != 0 ) {
fprintf(fout," bd@%6u ", (unsigned) stack_entry.m_branch_div_cycle );
} else {
fprintf(fout," " );
}
ptx_print_insn( stack_entry.m_pc, fout );
fprintf(fout,"\n");
}
}
void simt_stack::update( simt_mask_t &thread_done, addr_vector_t &next_pc, address_type recvg_pc, op_type next_inst_op )
{
assert(m_stack.size() > 0);
assert( next_pc.size() == m_warp_size );
simt_mask_t top_active_mask = m_stack.back().m_active_mask;
address_type top_recvg_pc = m_stack.back().m_recvg_pc;
address_type top_pc = m_stack.back().m_pc; // the pc of the instruction just executed
stack_entry_type top_type = m_stack.back().m_type;
assert(top_active_mask.any());
const address_type null_pc = -1;
bool warp_diverged = false;
address_type new_recvg_pc = null_pc;
while (top_active_mask.any()) {
// extract a group of threads with the same next PC among the active threads in the warp
address_type tmp_next_pc = null_pc;
simt_mask_t tmp_active_mask;
for (int i = m_warp_size - 1; i >= 0; i--) {
if ( top_active_mask.test(i) ) { // is this thread active?
if (thread_done.test(i)) {
top_active_mask.reset(i); // remove completed thread from active mask
} else if (tmp_next_pc == null_pc) {
tmp_next_pc = next_pc[i];
tmp_active_mask.set(i);
top_active_mask.reset(i);
} else if (tmp_next_pc == next_pc[i]) {
tmp_active_mask.set(i);
top_active_mask.reset(i);
}
}
}
if(tmp_next_pc == null_pc) {
assert(!top_active_mask.any()); // all threads done
continue;
}
// HANDLE THE SPECIAL CASES FIRST
if (next_inst_op== CALL_OPS)
{
// Since call is not a divergent instruction, all threads should have executed a call instruction
assert(top_active_mask.any() == false);
simt_stack_entry new_stack_entry;
new_stack_entry.m_pc = tmp_next_pc;
new_stack_entry.m_active_mask = tmp_active_mask;
new_stack_entry.m_branch_div_cycle = gpu_sim_cycle+gpu_tot_sim_cycle;
new_stack_entry.m_type = STACK_ENTRY_TYPE_CALL;
m_stack.push_back(new_stack_entry);
return;
} else if(next_inst_op == RET_OPS && top_type==STACK_ENTRY_TYPE_CALL) {
// pop the CALL Entry
assert(top_active_mask.any() == false);
m_stack.pop_back();
assert(m_stack.size() > 0);
m_stack.back().m_pc=tmp_next_pc;// set the PC of the stack top entry to return PC from the call stack;
// Check if the New top of the stack is reconverging
if (tmp_next_pc == m_stack.back().m_recvg_pc && m_stack.back().m_type!=STACK_ENTRY_TYPE_CALL)
{
assert(m_stack.back().m_type==STACK_ENTRY_TYPE_NORMAL);
m_stack.pop_back();
}
return;
}
// discard the new entry if its PC matches with reconvergence PC
// that automatically reconverges the entry
// If the top stack entry is CALL, dont reconverge.
if (tmp_next_pc == top_recvg_pc && (top_type != STACK_ENTRY_TYPE_CALL)) continue;
// this new entry is not converging
// if this entry does not include thread from the warp, divergence occurs
if (top_active_mask.any() && !warp_diverged ) {
warp_diverged = true;
// modify the existing top entry into a reconvergence entry in the pdom stack
new_recvg_pc = recvg_pc;
if (new_recvg_pc != top_recvg_pc) {
m_stack.back().m_pc = new_recvg_pc;
m_stack.back().m_branch_div_cycle = gpu_sim_cycle+gpu_tot_sim_cycle;
m_stack.push_back(simt_stack_entry());
}
}
// discard the new entry if its PC matches with reconvergence PC
if (warp_diverged && tmp_next_pc == new_recvg_pc) continue;
// update the current top of pdom stack
m_stack.back().m_pc = tmp_next_pc;
m_stack.back().m_active_mask = tmp_active_mask;
if (warp_diverged) {
m_stack.back().m_calldepth = 0;
m_stack.back().m_recvg_pc = new_recvg_pc;
} else {
m_stack.back().m_recvg_pc = top_recvg_pc;
}
m_stack.push_back(simt_stack_entry());
}
assert(m_stack.size() > 0);
m_stack.pop_back();
if (warp_diverged) {
ptx_file_line_stats_add_warp_divergence(top_pc, 1);
}
}
void core_t::execute_warp_inst_t(warp_inst_t &inst, unsigned warpSize, unsigned warpId)
{
for ( unsigned t=0; t < warpSize; t++ ) {
if( inst.active(t) ) {
if(warpId==(unsigned (-1)))
warpId = inst.warp_id();
unsigned tid=warpSize*warpId+t;
m_thread[tid]->ptx_exec_inst(inst,t);
//virtual function
checkExecutionStatusAndUpdate(inst,t,tid);
}
}
}
bool core_t::ptx_thread_done( unsigned hw_thread_id ) const
{
return ((m_thread[ hw_thread_id ]==NULL) || m_thread[ hw_thread_id ]->is_done());
}
void core_t::updateSIMTStack(unsigned warpId, unsigned warpSize, warp_inst_t * inst)
{
simt_mask_t thread_done;
addr_vector_t next_pc;
unsigned wtid = warpId * warpSize;
for (unsigned i = 0; i < warpSize; i++) {
if( ptx_thread_done(wtid+i) ) {
thread_done.set(i);
next_pc.push_back( (address_type)-1 );
} else {
if( inst->reconvergence_pc == RECONVERGE_RETURN_PC )
inst->reconvergence_pc = get_return_pc(m_thread[wtid+i]);
next_pc.push_back( m_thread[wtid+i]->get_pc() );
}
}
m_simt_stack[warpId]->update(thread_done,next_pc,inst->reconvergence_pc, inst->op);
}
//! Get the warp to be executed using the data taken form the SIMT stack
warp_inst_t core_t::getExecuteWarp(unsigned warpId)
{
unsigned pc,rpc;
m_simt_stack[warpId]->get_pdom_stack_top_info(&pc,&rpc);
warp_inst_t wi= *ptx_fetch_inst(pc);
wi.set_active(m_simt_stack[warpId]->get_active_mask());
return wi;
}
void core_t::initilizeSIMTStack(unsigned warps, unsigned warpsSize)
{
m_simt_stack = new simt_stack*[warps];
for (unsigned i = 0; i < warps; ++i)
m_simt_stack[i] = new simt_stack(i,warpsSize);
}
void core_t::get_pdom_stack_top_info( unsigned warpId, unsigned *pc, unsigned *rpc ) const
{
m_simt_stack[warpId]->get_pdom_stack_top_info(pc,rpc);
}
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